Process Error Definition
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correctly planned implementation methods. Context: Processing errors include all post-collection operations, as well as
Types Of Errors
the printing of questionnaires. Most processing errors occur in data for individual units, although errors can also be introduced in the implementation of systems and estimates.In survey data, for example, processing interviewer error errors may include errors of transcription, errors of coding, errors of data entry and errors of arithmetic in tabulation (The International Statistical Institute, “The Oxford Dictionary of Statistical Terms”, edited by Yadolah Dodge, Oxford University Press, 2003). Source Publication: United States Federal Committee on Statistical Methodology, "Statistical Policy Working Paper 15: Quality in Establishment Surveys", Washington D.C., July 1988, page 79. Cross References: Data processing (DP) Survey Hyperlink: http://www.fcsm.gov/working-papers/wp15.html Statistical Theme: Quality, statistical Glossary Output Segments: SDMX Created on Tuesday, September 25, 2001 Last updated on Tuesday, December 20, 2005
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or another blunder.[1] Types[edit] There are four types of administrative errors: Data-processing error: A category of administrative error that occurs in data processing because https://en.wikipedia.org/wiki/Administrative_error of incorrect data entry, incorrect computer programming or other error during data analysis. Sample selection error: Selection bias: an administrative error caused by improper selection of a http://www.nsgmed.com/research/sampling-error-definition-why-it-occurs-characteristicsways-to-eliminate/ sample during a survey, resulting in accidental bias in the results. Interviewer error: This type of administrative error is caused by failure of an interviewer to correctly error definition pose questions or record responses. Interviewer error generally leads to biased results, and perhaps to an increase in variability.[2] Interviewer cheating: The practice of filling in fake answers or falsifying questionnaires while working as an interviewer. References[edit] ^ William G. Zikmund (2003), Business Research Methods, 7E. ISBN 0-03-035084-0. ^ Scheaffer, Richard L. 1996. Section 5 process error definition of "Teaching Survey Sampling," by Ronald S. Fecso, William D. Kalsbeek, Sharon L. Lohr, Richard L. Scheaffer, Fritz J. Scheuren, Elizabeth A. Stasny. The American Statistician 50:4 (Nov., 1996), pp 335-337. External links[edit] Business Research Methods Retrieved from "https://en.wikipedia.org/w/index.php?title=Administrative_error&oldid=742555743" Categories: Survey methodology Navigation menu Personal tools Not logged inTalkContributionsCreate accountLog in Namespaces Article Talk Variants Views Read Edit View history More Search Navigation Main pageContentsFeatured contentCurrent eventsRandom articleDonate to WikipediaWikipedia store Interaction HelpAbout WikipediaCommunity portalRecent changesContact page Tools What links hereRelated changesUpload fileSpecial pagesPermanent linkPage informationWikidata itemCite this page Print/export Create a bookDownload as PDFPrintable version Languages Add links This page was last modified on 4 October 2016, at 11:32. Text is available under the Creative Commons Attribution-ShareAlike License; additional terms may apply. By using this site, you agree to the Terms of Use and Privacy Policy. Wikipedia® is a registered trademark of the Wikimedia Foundation, Inc., a non-profit organization. Privacy policy About Wikipedia Disclaimers Contact Wikipedia Developers Cookie statement Mobile view
Reset Home » Research » Sampling error, Definition, why it occurs, characteristics,ways to eliminate Sampling error, Definition, why it occurs, characteristics,ways to eliminate Journal Published: June 25, 2014 Sampling error It is a statistical error to which an analyst exposes a model simply because he or she is working with sample data rather than population or census data. Using sample data presents the risk that results found in an analysis do not represent the results that would be obtained from using data involving the entire population from which the sample was derived. The use of a sample relative to an entire population is often necessary for practical and/or monetary reasons. Although there are likely to be some differences between sample analysis results and population analysis results, the degree to which these can differ is not expected to be substantial. SAMPLING ERROR In Research- Definition Sampling error is the deviation of the selected sample from the true characteristics, traits, behaviours, qualities or figures of the entire population. by Joan Joseph Castillo (2009) Sampling error arises from estimating a population characteristic by looking at only one portion of the population rather than the entire population. It refers to the difference between the estimate derived from a sample survey and the ‘true' value that would result if a census of the whole population were taken under the same conditions. There is no sampling error in a census because the calculations are based on the entire population. In nursing research, a sampling error is the difference between a sample statistic used to estimate a population parameter and the actual but unknown value of the parameter (Bunns & Grove, 2009). WHY DOES THIS ERROR OCCUR? Sampling process error occurs because researchers draw different subjects from the same population but still, the subjects have individual differences. Keep in mind that when you take a sample, it is only a subset of the entire population; therefore, there may be a difference between the sample and population. The most frequent cause of the said error is a biased sampling procedure. Every researcher must seek to establish a sample that is free from bias and is representative of the entire population.